code: def from_dlpack(
      x,
      /,
      *,
      out: Optional[Union[tf.Tensor, tf.Variable]] = None,
  ) -> Union[tf.Tensor, tf.Variable]:
      if isinstance(x, tf.Variable):
          x = x.read_value()
      if hasattr(x, "__dlpack__"):
          capsule = x.__dlpack__()
      else:
          capsule = x
      return tf.experimental.dlpack.from_dlpack(capsule)
  
imports: import numpy
  from numbers import Number
  from typing import Union, List, Optional, Sequence, Tuple
  import tensorflow
  import ivy
  from ivy.func_wrapper import with_unsupported_dtypes
  from ivy.functional.ivy.creation import _asarray_to_native_arrays_and_back, _asarray_infer_device, _asarray_infer_dtype, _asarray_handle_nestable, NestedSequence, SupportsBufferProtocol, _asarray_inputs_to_native_shapes
  from .None import backend_version
label_desc: Use image node_id 7 for calling a global function with example usage: from_dlpack() and returns: tf